At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job
requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
About
the Role Klaviyo is seeking a Lead MarTech & AI Solutions Architect — an individual contributor role for someone who wants deep, hands-on ownership. In this role, you'll design and build the end-to-end architecture of how marketing data moves through our systems, from initial lead and data intake through to conversion, embedding AI and automation directly into that journey to accelerate it. In this role, you'll also architect and own a centralized marketing hub spanning the full marketing lifecycle — from budget allocation and planning, through campaign execution, to using performance insights to accelerate the next planning cycle and improve ROI. This role carries high ownership and visibility: you're the architect who understands how every system connects, why it's built that way, and where it needs to go next — building the technical foundation that turns customer journeys and personalization, planning cycles, and cross-functional decisions into a single, connected ecosystem. How You'll Make a Difference Design and build AI-powered marketing capabilities into our systems, from generative AI use cases to predictive scoring and intent-based automation, that accelerate the intake-to-conversion journey. Serve as the technical owner of how marketing systems integrate with one another — proactively catching where data breaks or logic conflicts, and implementing the architectural solutions needed to evolve the ecosystem to support business growth. Build and connect an ecosystem that accelerates customer journeys through personalization across the funnel — leveraging behavioral, product, and intent signals to maximize acquisition, conversion, and expansion Turn performance data and business
requirements into architecture and process improvements that shorten planning cycles and improve marketing ROI. Partner cross-functionally with Lifecycle, Marketing Analytics, Sales Ops, and other technical teams to align system architecture with business needs — representing the technical point of view in planning and governance conversations. Perform solution architecture reviews and serve as a critical advisor on technical design decisions — flagging trade-offs and ensuring alignment across systems, teams, and outcomes Build and own a centralized marketing hub spanning the entire execution lifecycle: budget allocation and planning, campaign execution, and the feedback loop that turns performance insights into faster planning cycles.
Who You Are 8+ years of experience in MarTech, with demonstrated ownership of enterprise-scale system architecture — not just implementing tools, but architecting how data, process, and strategy connect across the full marketing lifecycle. Hands-on experience designing and building AI-powered marketing capabilities, from generative AI use cases to predictive scoring and intent-based automation, that solve real marketing problems. Deep experience architecting HubSpot, Salesforce, and in-house systems at scale, including lead scoring, lifecycle automation, customer journey and personalization, campaign/opportunity data models, and cross-system data association. Strong understanding of marketing budgeting, planning cycles, and ROI measurement — able to connect spend data directly to performance outcomes through architectural decisions. Experience building scalable integrations — using APIs and middleware — across marketing systems (e.g., HubSpot, Salesforce, NetSuite, Coupa). A proven track record contributing to vendor evaluation and platform implementation for enterprise organizations. A natural cross-functional partner — able to sit with cross-functional teams, translate their
requirements into system architecture, and be the technical advisor they trust. Excellent communication and documentation skills. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total
compensation package may include participation in the company’s annual cash
bonus plan, variable
compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing
benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $132,000 — $198,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous
benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see our Job Applicant Privacy Notice . Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
About Klaviyo
Klaviyo is a marketing automation and email platform designed to help grow businesses. From personalized newsletters to automated emails like abandoned carts, order follow-ups, and personalized thank yous, Klaviyo makes it easy for stores to set up email marketing without the need for expensive systems and lots of people. It integrates natively with customer data sources and builds the technology to house data at scale, creates experiences across channels, and measures the results.
